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Filter Total Items: 13231

o FTLOADDS (combined SWIFT2D surface-water model and SEAWAT groundwater model) simulator used to Repurpose a Hindcast Simulation of the 1926 Great Miami Hurricane using the South Florida Peninsula for the Biscayne and Southern Everglades Coastal Transport

The previously developed Biscayne and Southern Everglades Coastal Transport (BISECT) model, which combines a three-dimensional groundwater model with a two-dimensional hydrodynamic surface-water model with variable-density solute-transport (https://doi.org/10.3133/sir20195045), was used to evaluate the hydrologic response to historical and hypothesized modern hurricane strikes. Simulations wer

Map and model input and output data for the north Charlotte Creek Basin, Douglas County, Oregon, for analysis of debris-flow initiation resulting from the storm of November 17 - 19, 1996

Heavy rainfall during mid-November 1996 induced debris flows throughout the southern Oregon Coast Range, including more than 150 in the immediate vicinity of north Charlotte Creek (Coe and others, 2011). Data in this project pertain to a 2.4-km2 area centered at N 43.65° and W 123.94° which an area where high concentrations of debris flows occurred. These data include a subset of a map of landslid

Daily Basin Characterization Model (BCM) archive for Humboldt Bay/Eel River

This data set includes: 1) A shapefile of the Humboldt Bay Eel River (HBER) 13 sub watersheds, 2) A shape file of the streamflow gages used in calibration, and 3) Daily Basin Characterization Model (BCM) model climate inputs (minimum and maximum air temperature, precipitation, and potential evapotranspiration) and outputs of recharge and runoff for the year 2010 used to develop streamflow estimate

Supporting Data for Sediment Studies in the White River Watershed

The White River is a dynamic gravel-bedded system in western Washington, with headwaters on Mount Rainier. Chronic aggradation in the lower river has reduced flood conveyance to a point where modest discharges are increasingly causing substantial flood damage. In order to better understand the dynamics governing this aggradation, and how aggradation rates may be influenced by forecasted changes in

Data for Bathymetric Survey and Sedimentation Analysis of Lago Carite, Puerto Rico, January 2018

This data release contains spatial data associated with the bathymetric survey and sedimentation analysis of Lago Carite in January 2018. During January 23-30, 2018, the U.S. Geological Survey, in cooperation with the Puerto Rico Electric Power Authority, conducted a bathymetric survey of Lago Carite primarily to update estimates of the contemporary reservoir storage capacity and sedimentation rat

Underwater Videographic Observations of Cultured Delta Smelt in Field Enclosures: Video Clips and Summary Data

All data is part of a pilot study aimed to observe Delta Smelt behavior within enclosures deployed in the wild. The enclosures used were designed by The California Department of Water Resources and UC Davis as part of their ongoing Delta Smelt enclosure deployment studies. Study 1: This data includes 16 17:43 minute videos of observations of Delta Smelt behavior in a floating field enclosure and a

Gila River at I-10 Bridge near Sacaton, AZ - 2020/08/12 GPS Survey

The dataset contains GPS survey data of ground control points deployed for aerial LiDAR data collection. The targets were deployed and surveyed on 8/12/2020 and the LiDAR flight was conducted on the morning of 8/13/2020. The control points were surveyed using Leica GS14 RTK GPS equipment, S/N rover-2806883, using the Real Time Network, Leica Smartnet, to determine absolute position.

Water Temperature, Dissolved Oxygen, and pH Point Measurements from a Beaver Pond along Fanno Creek, Oregon, on four hot days in summers 2016-17

Water-quality point measurements were collected at various depths throughout a beaver pond along Fanno Creek in the Tualatin River Basin, Oregon. Parameters collected include water temperature, dissolved oxygen, and sometimes pH. All data were collected over a short period of time (< 4 hours) during 4 hot days in order to characterize the spatial (both horizontal and vertical) variability of these

Combined wildfire datasets for the United States and certain territories, 1878-2019

This dataset is comprised of four different zip files. Zip File 1: A combined wildfire polygon dataset ranging in years from 1878-2019 (142 years) that was created by merging and dissolving fire information from 12 different original wildfire datasets to create one of the most comprehensive wildfire datasets available. Attributes describing fires that were reported in the various source data, incl

Chemical and biological data from acute and chronic nickel and zinc exposure bioassays to two sensitive freshwater benthic invertebrates

The responses (survival, growth, and/or reproduction) of test organisms in six concentrations of toxicants in acute and chronic tests. Chemical and water quality parameters were measured for quality assurance and quality control purposes.

Data used to describe hydrogeologic units and create contour maps and cross sections of the Boone and Roubidoux Aquifers, northeastern Oklahoma

The Ozark Plateau aquifer system stretches across approximately 70,000 square miles (mi2) of Arkansas, Missouri, Kansas and Oklahoma, and is composed of many hydrogeologic units, such as the Boone aquifer and the Roubidoux aquifer. However, this data release is focused on only 11,000 mi2 in northern Arkansas, southeastern Kansas, southwestern Missouri, and northeastern Oklahoma. The Boone aquifer

Machine-learning model predictions and groundwater-quality rasters of specific conductance, total dissolved solids, and chloride in aquifers of the Mississippi embayment

Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity - including specific conductance (SC), total dissolved solids (TDS), and chloride (Cl) concentrations - across three drinking-water aquifers of the Mississippi embayment. A ML approach was used because it accommod